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HOPE-CAT - by Invaryant

HOPE-CAT - by Invaryant

HOPE-CAT - by Invaryant

1 verified client


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Avia Summary

HOPE-CAT - by Invaryant is a solution provided by Invaryant which was founded in 2015. It belongs to multiple categories of digital health solutions including Remote Monitoring (RPM), Care Plans, Clinical Decision Support, Clinical Decision Support Systems, Risk Identification & Stratification, and Coordinated Community Networks.
It has 1 verified client.
HOPE-CAT - by Invaryant integrates with major EMRs such as Epic, Cerner, and Meditech.
Some other resource(s) that may be helpful in learning about HOPE-CAT - by Invaryant include: Top 50 remote monitoring companies report and Current State of Remote Monitoring

HOPE-CAT is a machine-learning-based risk-assessment algorithm that identifies factors that may indicate the development of cardiovascular conditions that lead to maternal morbidity and mortality. By monitoring a pregnant patient's aggregated health data (e.g., medical records, wearables and device data, and self-reported data) in real time, HOPE-CAT stratifies a patient's risk and alerts providers to changes in a patient's risk status.

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EHR integration

Not applicable
Epic, Cerner, Meditech, Allscripts, NextGen, athena, GE, eClinicalWorks, McKesson
Desktop, Mobile / Tablet (web optimized)
Use cases and differentiators

Detect risks related to cardiovascular events and disease in pregnancy and postpartum.

Aid in earlier diagnosis of conditions leading to maternal morbidity and mortality.

Patients, Practitioners, OBGYNs, Midwives, Nurse Practitioners, Doulas, Cardiologists, Emergency Medicine

Current efforts to reduce cardiovascular-based maternal morbidity and mortality are reactive. Often occurring in a disjointed system, patient encounters and, consequently, data collection occur every few weeks or months over the course of a pregnancy, and even less frequently postpartum.

HOPE-CAT constantly monitors a patient's aggregated health data (e.g., medical records, wearable and device data, and self-reported data) in real time, stratifies a patient's risk, and alerts providers to changes in a patient's risk status.

The machine-learning-based technology identifies signs of risk sooner than would be discovered in a clinical setting, prompting proactive intervention and reducing outcomes of maternal morbidity and mortality.

HOPE-CAT is a proactive tool that identifies signs of risk before a patient experiences complications or a medical emergency, prompting intervention and fostering proactive care, unlike other diagnostic and treatment models.

Company information

Founded in 2015


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  • AMC
  • Pediatric Facilities
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  • Rural Presence

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